AIMC Topic: Central Nervous System Stimulants

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Characterizing patients at higher cardiovascular risk for prescribed stimulants: Learning from health records data with predictive analytics and data mining techniques.

Computers in biology and medicine Feb 20, 2025
OBJECTIVE: Given the significantly increased number of individuals prescribed stimulants in the past decade, there has been growing concern regarding the risk of cardiovascular events among adults on stimulant therapy. We aimed to quantify the added ...
Machine Learning Electronic Health Records Female Aged Humans Middle Aged Data Mining Heart Disease Risk Factors Central Nervous System Stimulants Attention Deficit Disorder with Hyperactivity Young Adult Adult Male Cardiovascular Diseases
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Artificial intelligence-based drug repurposing with electronic health record clinical corroboration: A case for ketamine as a potential treatment for amphetamine-type stimulant use disorder.

Addiction (Abingdon, England) Nov 17, 2024
BACKGROUND AND AIMS: Amphetamine-type stimulants are the second-most used illicit drugs globally, yet there are no US Food and Drug Administration (FDA)-approved treatments for amphetamine-type stimulant use disorders (ATSUD). The aim of this study w...
Ketamine Central Nervous System Stimulants Electronic Health Records Amphetamine-Related Disorders Humans Male Female Artificial Intelligence Middle Aged Young Adult Retrospective Studies United States Adult Drug Repositioning
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Neonatal brain inflammation enhances methamphetamine-induced reinstated behavioral sensitization in adult rats analyzed with explainable machine learning.

Neurochemistry international Apr 17, 2024
Neonatal brain inflammation produced by intraperitoneal (i.p.) injection of lipopolysaccharide (LPS) results in long-lasting brain dopaminergic injury and motor disturbances in adult rats. The goal of the present work is to investigate the effect of ...
Machine Learning Female Lipopolysaccharides Neuroinflammatory Diseases Methamphetamine Animals, Newborn Animals Male Rats Rats, Sprague-Dawley Encephalitis Central Nervous System Stimulants Behavior, Animal Locomotion Motor Activity
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Multimodal treatment efficacy differs in dependence of core symptom profiles in adult Attention-Deficit/Hyperactivity Disorder: An analysis of the randomized controlled COMPAS trial.

Journal of psychiatric research Apr 1, 2022
There is broad consensus that to improve the treatment of adult Attention-Deficit/Hyperactivity Disorder (ADHD), the various therapy options need to be tailored more precisely to the individual patient's needs and specific symptoms. This post-hoc ana...
Adult Treatment Outcome Double-Blind Method Combined Modality Therapy Central Nervous System Stimulants Attention Deficit Disorder with Hyperactivity Methylphenidate Humans
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Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis of four randomized clinical trials.

Psychiatry research Jan 5, 2021
Machine learning (ML) was used to determine whether early response can predict efficacy outcome in pediatric subjects with ADHD treated with SPN-812. We used data from four Phase 3 placebo-controlled trials of 100- to 600-mg/day SPN-812 (N=1397; 6-17...
Attention Deficit Disorder with Hyperactivity Viloxazine Clinical Trials as Topic Drug Administration Schedule Central Nervous System Stimulants Delayed-Action Preparations Adolescent Child Treatment Outcome Body Mass Index Humans Dose-Response Relationship, Drug Machine Learning Randomized Controlled Trials as Topic Female Double-Blind Method Male Body Weight
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Physicochemical characterization of an arabinoxylan-rich fraction from brewers' spent grain and its application as a release matrix for caffeine.

Food research international (Ottawa, Ont.) Sep 18, 2018
The brewers' spent grain is a by-product generated during brewery process and is a potential source for arabinoxylans (AX) extraction. In the present work, the extraction and characterization of an arabinoxylan-rich fraction from brewers' spent grain...
Viscosity Hordeum Solubility Central Nervous System Stimulants Plasticizers Drug Carriers Drug Liberation Delayed-Action Preparations Waste Products Glycerol Fermentation Food Microbiology Xylans Caffeine Edible Grain Kinetics
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[Identification of Methamphetamine Abuse and Selegiline Use： Chiral Analysis of Methamphetamine and Amphetamine in Urine].

Fa yi xue za zhi Dec 25, 2017
OBJECTIVES: To study the content variation of selegiline and its metabolites in urine, and based on actual cases, to explore the feasibility for the identification of methamphetamine abuse and selegiline use by chiral analysis.
Amphetamine Amphetamine-Related Disorders Selegiline Methamphetamine Gas Chromatography-Mass Spectrometry Substance Abuse Detection Central Nervous System Stimulants Humans Chromatography, Liquid Tandem Mass Spectrometry
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Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.

Biological psychiatry. Cognitive neuroscience and neuroimaging Aug 1, 2017
BACKGROUND: Successfully treating illicit drug use has become paramount, yet elusive. Devising specialized treatment interventions could increase positive outcomes, but it is necessary to identify risk factors of poor long-term outcomes to develop sp...
Cerebral Cortex Neural Pathways Central Nervous System Stimulants Male Humans Corpus Striatum Middle Aged Machine Learning Gyrus Cinguli Magnetic Resonance Imaging Female Substance-Related Disorders Adult
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Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Humans Drug Therapy, Computer-Assisted Norepinephrine Plasma Membrane Transport Proteins Receptors, Adrenergic, alpha-2 Stroop Test Magnetic Resonance Imaging Child Central Nervous System Stimulants Lead Treatment Outcome Attention Deficit Disorder with Hyperactivity Cotinine Support Vector Machine Methylphenidate Brain Body Weight Rest Age Factors Prognosis Polymorphism, Genetic Female Male
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